Network Flows: Theory, Algorithms, and Applications

Ahuja, Ravindra K.

ISBN 10: 013617549X / ISBN 13: 9780136175490

Published by Prentice Hall, 1993

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1500grams, ISBN:9780136175490.

Seller Inventory # 5767787

Bibliographic Details

• Title: Network Flows: Theory, Algorithms, and Applications
• Publisher: Prentice Hall
• Publication Date: 1993
• Language: English
• ISBN 10: 013617549X
• ISBN 13: 9780136175490
• Binding: Hardcover
• Condition: Good
• Seller catalogs:
  • Computing

About this title

Synopsis

A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications.

presents in-depth, self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including descriptions of polynomial-time algorithms for these core models.

• emphasizes powerful algorithmic strategies and analysis tools such as data scaling, geometric improvement arguments, and potential function arguments.

• provides an easy-to-understand descriptions of several important data structures, including d-heaps, Fibonacci heaps, and dynamic trees.

• devotes a special chapter to conducting empirical testing of algorithms.

• features over 150 applications of network flows to a variety of engineering, management, and scientific domains.

• contains extensive reference notes and illustrations.    

From the Back Cover

Bringing together the classic and the contemporary aspects of the field, this comprehensive introduction to network flows provides an integrative view of theory, algorithms, and applications.

It offers in-depth and self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including a description of new and novel polynomial-time algorithms for these core models. For professionals working with network flows, optimization, and network programming.